Bivariate distributions. Sampling distributions. Chi-squared, F and t distributions. Estimation. Hypothesis tests (proportions, means, variance, chi-square). Method of moments. Maximum likelihood estimators. Neyman-Pearson lemma. Likelihood ratio tests. Elementary regression and correlation.
This course may not be repeated for credit.
Notes
- Prior or concurrent completion of Mathematics 353 or 381 is strongly recommended. Also known as: (formerly Mathematics 323)
SyllabusSections
| LEC 1 | MWF 10:00 - 10:50
| | Deniz Sezer | | Outline |
| TUT 1 | T 10:00 - 10:50
| | | | |
| TUT 2 | T 11:00 - 11:50
| | | | |
| TUT 3 | T 11:00 - 11:50
| | | | |
This course will be offered next in
Summer 2014.